Java Data Mining: Strategy, Standard, and Practice by Mark F. Hornick
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Java Data Mining: Strategy, Standard, and Practice
By Mark F. Hornick

Java Data Mining: Strategy, Standard, and Practice

A Practical Guide for Architecture, Design, and Implementation

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Format: Paperback

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Java Data Mining: Strategy, Standard, and Practice by Mark F. Hornick

Book Description

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. * Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems* JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects* JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API* Free, downloadable KJDM source code referenced in the book available here

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Book Details

ISBN: 9780123704528
ISBN-10: 0123704529
Format: Paperback
(235mm x 191mm x 25mm)
Pages: 544
Imprint: Morgan Kaufmann Publishers In
Publisher: Elsevier Science & Technology
Publish Date: 17-Nov-2006
Country of Publication: United States

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Author Biography - Mark F. Hornick

Mark Hornick has lead the Java Data Mining (JSR-73) expert group since its inception in July of 2000, and now leads the JSR-247 expert group working towards JDM 2.0. Mr. Hornick brings nearly 20 years experience in the design and implementation of advanced distributed systems, including in-database data mining, distributed object management, and Java APIs. Mr. Hornick is a senior manager in Oracle's Data Mining Technologies group. Mr. Hornick joined Oracle through Oracle's acquisition of Thinking Machines Corporation in 1999. Prior to Thinking Machines, where he served as architect for TMC's next generation data mining software, Mr. Hornick was a Principal Investigator at GTE Laboratories, involved in advanced telecommunications network management software, distributed transaction management research, and distributed object management research. Mr. Hornick has contributed to several other data mining standards, including the Data Mining Group's PMML, ISO SQL/MM for Data Mining, and the Object Management Group's Common Warehouse Metadata. He has given talks at the International Conference on Knowledge Discovery and Databases, JavaOne, JavaPro Live!, and The ServerSide Symposium on data mining standards and JDM. He has also published various papers and articles over his career. Mr. Hornick holds a bachelor degree from Rutgers University in Computer Science, and a masters degree from Brown University, also in Computer science where he specialized in distributed object databases. With over 17 years of experience in the neural network industry, Erik Marcade, founder and chief technical officer for KXEN, is responsible for software development and information technologies. Prior to founding KXEN, Mr. Marcade developed real-time software expertise at Cadence Design Systems, accountable for advancing real-time software systems as well as managing "system-on-a-chip projects. Before joining Cadence, Mr. Marcade spearheaded a project to restructure the marketing database of the largest French automobile manufacturer for Atos, a leading European information technology services company. In 1990, Mr. Marcade co-founded Mimetics, a French company that processes and sells development environment, optical character recognition (OCR) products and services using neural network technology. Prior to Mimetics, Mr. Marcade joined Thomson-CSF Weapon System Division as a software engineer and project manager working on the application of artificial intelligence for projects in weapons allocation, target detection and tracking, geo-strategic assessment, and software quality control. He contributed to the creation of Thomson Research Laboratories in Palo Alto, CA (Pacific Rim Operation-PRO) as senior software engineer. There he collaborated with Stanford University on the automatic landing and flare system for Boeing, and Kestrel Institute, a non-profit computer science research organization. He returned to France to head Esprit projects on neural networks development. Mr. Marcade holds an engineering degree from Ecole de l'Aeronautique et de l'Espace, specializing in process control, signal processing, computer science, and artificial intelligence J2EE and XML group leader and Principal Member of Technical Staff at Oracle Data Mining Technologies. Expert group member of Java Data Mining (JDM) standard developed under JSR-73. More than five years experience in developing applications using predictive technologies available in the Oracle Database. More than seven years of experience in working with Java and Internet technologies. Authored JDM article in Java Developer Journal. Holds a B.S in Engineering and Masters in Industrial Management from Indian Institute Of Technology, Kanpur.

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